Services · 06
AI and workflow automation
I build AI-assisted workflows where the model handles the fuzzy part and deterministic code handles everything that must be reliable: validation, approvals, retries, logging and handover. The goal is automation that survives week three, not a demo that only works on the happy path.
Who it’s for
- Operations teams spending hours on repetitive reading, sorting or drafting work
- Ecommerce and service businesses that need faster responses without losing control
- Agencies and product teams exploring an AI feature that still has to be dependable
- Teams with data in several tools and no reliable way to move it between them
Problems this solves
- →Manual copy-paste between inboxes, spreadsheets, CRMs and internal tools.
- →AI experiments that work in a demo but have no error handling, audit trail or human escape hatch.
- →Unstructured enquiries, documents or product data that need consistent processing.
- →Workflows that depend on one person remembering a sequence of steps.
- →Vendor-specific AI lock-in where the workflow should outlast the model provider.
01Deliverables
What the work includes.
The exact scope is agreed after the first conversation. These are the building blocks this service usually covers.
Workflow design and boundaries
A clear map of what the AI should decide, what deterministic code should enforce, and where a human must approve or take over.
LLM API integration
Model calls behind a stable application boundary, with prompts, schemas and model choice treated as configurable implementation details.
Validation and guardrails
Output checks, confidence thresholds, retry logic and escalation paths so a wrong model response cannot silently take a real action.
Business system connections
Integration with the CRM, email platform, store, spreadsheet or internal API that the workflow needs to read from or write to.
Logging and maintainability
Structured logs, run history and documentation so the workflow can be inspected, debugged and changed without reverse-engineering it.
02Approach
How the work gets done.
- 01
Understand the system
We start with the business goal, the current stack and the constraints. I need to know what is actually breaking before proposing a build.
- 02
Design the architecture
Scope, data model, integrations and success criteria are defined before implementation, so the work has a clear shape and a testable definition of done.
- 03
Build in visible milestones
Work is delivered in reviewable stages on a staging environment, with decisions documented as they are made rather than after the fact.
- 04
Verify and hand over
Testing, measurement validation, documentation and a walkthrough. The goal is a system the next person can operate and maintain.
03Evidence
Related work and public evidence.
Products, case studies and writing connected to this service. No client outcomes are claimed without evidence.
Related writing
04FAQ
Questions clients ask.
Do you have public AI client case studies?
I do not publish client case studies I cannot evidence. My public AI work is product development and documented implementation patterns. In a conversation I can walk through the architecture and constraints in detail.
Which AI models do you work with?
I work through provider APIs rather than tying a workflow to a single model. The right model depends on the task, cost, latency, data handling requirements and the quality bar for the output.
Can the automation connect to our existing CRM or email platform?
Usually yes, if the platform exposes an API or webhooks. I check the available integration path before committing to a design.
How do you stop the AI from taking incorrect actions?
The workflow separates model output from consequential actions. Outputs are validated against rules, low-confidence cases are escalated to a person, and actions are logged so they can be reviewed.
Is AI automation suitable for a small business?
Sometimes. The best starting point is a repeated, well-defined task with a clear input and output. If the process is still changing every week, it is usually better to stabilise the process first.
Next step
Tell me what you’re trying to build or fix.
A short description of the problem is enough to start. I reply to real enquiries myself, usually within one to two business days.
Cumilla, Bangladesh · Working worldwide · GMT+6 · Remote · All contact options